Probabilistic Available Transfer Capability Calculation of Wind Farm Incorporated Power System

2013 ◽  
Vol 724-725 ◽  
pp. 582-586
Author(s):  
Zhong Cheng Li ◽  
Bu Han Zhang ◽  
Ye Bin Ge ◽  
Yi Chen ◽  
Xiao Gang Miao ◽  
...  

The paper mainly studies the available transfer capability of wind farm incorporated power system, and proposes an on-line calculating method considering many uncertain factors. First based on continuation power flow, an improved algorithm of the key constraint by linear prediction is proposed so as to obtain deterministic ATC with the expansion power flow equation. Then Monte Carlo simulation is used which takes many uncertain factors into considerations, such as wind speed, the random fault of generators and lines, the fluctuation of generators and load, etc. With hierarchical clustering algorithm, the samples with the same key constraint can be divided into one category without repeatedly predicting key constraint, so the probabilistic ATC in all kinds of conditions can be got rapidly and precisely. Finally a case study demonstrates the validity and superiority of method proposed in this paper. The research could be a valuable reference to power market operations and wind farm planning.

2018 ◽  
Vol 7 (1.8) ◽  
pp. 188
Author(s):  
M Dhana Sai Sri ◽  
P Srinivasa Varma

Reliability of network is need of the hour in the present power system market and is constrained by capability of the network. The network calculations are performed using accurate and high efficient strategies. In order to perform power transactions in the system, the computation of available transfer capability is essential which a metric of capability of the system. Generally, effect wattless power is not taken into account in the methodologies for computation of linear available transfer capability. In this paper, a methodology which considers the reactive power flows for enhancement of linear ATC is presented. In order to perform analysis theoretically, a standard IEEE 3 bus system is considered. Another case study i.e., 14 bus system available in IEEE test systems is used for simulation analysis. FACTS technology is incorporated in the existing system in order to enhance capability of the network. To facilitate transfer maximum power in the system, an optimal power-flow-based ATC enhancement model is formulated and presented along with simulation results. Studies based on the IEEE 3-bus system and 14-bus systems with TCSC demonstrate the effectiveness of FACTS control on ATC enhancement.  


2020 ◽  
Vol 29 (15) ◽  
pp. 2050237
Author(s):  
N. Kannan ◽  
S. Sutha

In distribution systems, it is important to guarantee the protected operating state of the power system by the transmission suppliers. To transmit a secure, dependable and economical supply of electric power, long separation bulk power transmission is fundamental. Despite that, the power transfer capacity of the power system is constrained because of the elements like thermal limits, voltage limits and security limits. Crow Search Optimizations (CSO) have been exhibited to be reasonable methodologies in taking care of nonlinear power system issues with Available Transfer Capability (ATC). It is conceivable to improve transmission capabilities. This proposed method based on the IEEE 30-bus system is considered with two distinct areas, and furthermore, the input source is a typical load system with a distributed network. There is a need to control the reactive power flow at the Point of Common Coupling (PCC) between the grids of various voltage levels. To operate a power system securely and furthermore to acquire the benefit of bulk power transfer, ATC evaluation is required. The load gets raised from 50% to 100% in the distribution side by including the thermal power plant (85% and 95% load is included) and with the procured condition, ATC and losses are to be determined. This ATC is determined for verified power supply to the consumers.


2014 ◽  
Vol 1070-1072 ◽  
pp. 193-199
Author(s):  
Min Jiang Chen ◽  
Yue Qing Chen ◽  
Wang Chao Dong ◽  
Bei Wu

This paper uses the optimal probabilistic load flow method for power containing wind farm analysis. Based on Computation of optimal load flow using the Interior point method ,considering the stochasticlal power output of wind generator and the random outage of synchronous generator and the stochastic of load power, calculating the probability distribution of branch power flow and node voltage. This paper uses RTS-24 as the example to analysis the method ,and comparison the results with that of the Monte-Carlo method, to analysis the change of power system after the grid connected of wind turbine.


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